基于HHGA-RBF算法的网络态势预测模型研究

安全态势评估作为网络安全态势技术的重要组成部分,对于最终决策的制定起着关键作用。目前关于安全态势评估的研究较为热门,但尚不成熟,其中安全态势预测更处于起步阶段。在对现有网络安全态势评估方法和技术进行调研分析基础上,基于对当前网络安全态势的数据分析,得到量化后的离散数据点,研究得出这些离散数据点在时间轴上具有非线性分布的特点,提出了一种基于HHGA-RBF算法的网络安全态势预测模型,对态势评估输出的数据,采用预测模型对安全态势的发展趋势进行预测。根据网络安全态势的实际特点,对该算法进行了改进,详细讨论了具体的预测算法和执行过程。最后,设计并实现了军用网络安全态势评估软件系统,实现了网络态势预测。

Prediction Model of Network Situation Based on HHGA-RBF Algorithm

Security situation assessment is an important part of network security posture technology.Currently the security situation assessment is a popular topic but not yet mature,in which security situation is in its infancy forecast.Based on research and analysis of existing network security situation assessment methods and techniques,quantified discrete data points are botained after analysis of the current network security situation data.Research is done to get these discrete data points on the timeline with nonlinear characteristics of the distribution,aprediction model based on HHGA-RBF network security situation is proposed,which can assess output situation data and forecast the development trend.According to the actual characteristics of network security situation,the algorithm has been improved though detailed discussion of specific prediction algorithm and implementation process.Finally,one pair of military network security situation assessment software system is designed and implemented.System development follows the software engineering theories and techniques and implements the network trend forecasts and realizes the network trend forecasts.